Research Scientist

il y a 4 semaines


Montpellier, Occitanie, France INRAE, ABSys lab Temps plein
Job Title: Research Engineer

We are seeking a highly motivated Research Engineer to join our team at INRAE, ABSys lab. The successful candidate will have a strong background in machine learning and statistics, with a willingness to learn principles of agronomy and crop modelling.

Job Description:

The objective of this position is to apply machine learning techniques to build a meta-model of the hi-sAFe model, enabling quick evaluations of different agroforestry systems in various pedoclimatic and management conditions.

Key Responsibilities:
  • Validate the hi-sAFe model in different conditions using existing data on long-term performance of agroforestry systems.
  • Build a training dataset covering the desired range of cropping systems, tree configurations, soils, climates, and management practices.
  • Choose a suitable machine learning technique and train the meta-model on simulated data.
  • Develop an API to make the meta-model available for queries, enabling coupling with existing or new applications developed by partners of the DigitAF project.
Requirements:
  • Engineering degree in machine learning, statistics, or applied mathematics, with a willingness to learn principles of agronomy and crop modelling.
  • PhD degree in agriculture, plant sciences, modelling, or related sciences, with experience in using and improving crop simulation models.
Working Conditions:

The successful candidate will work in a dynamic and collaborative environment, with opportunities for professional growth and development.

How to Apply:

Interested candidates should submit their application, including a cover letter and CV, to [insert contact information].


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